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  4. SAGESSE: A System for Argument Generation, Extraction and Structuring of Social Exchanges
 
conference paper

SAGESSE: A System for Argument Generation, Extraction and Structuring of Social Exchanges

Almerge, Nicolas  
•
Santelmo, Matteo  
•
Gül, Ilker  
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March 10, 2025
WSDM '25: Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining
18th ACM International Conference on Web Search and Data Mining (WSDM)

Online debates provide critical insights into public opinion and societal trends, yet the unstructured nature of these discussions presents significant challenges for analysis. In this paper, we present SAGESSE, a novel argumentation parsing pipeline tailored to Reddit debates, leveraging the capabilities of large language models to structure and interpret complex online arguments. SAGESSE generates detailed argument maps that organize debates systematically, offering a clearer understanding of discourse dynamics. We have developed a web application where users can select controversial Reddit topics and visualize the corresponding argument maps generated from user comments. This tool has the potential to aid analysts, policymakers, and researchers in tracking debate progress, gauging public sentiment, and identifying influential arguments. The web application is available at https://modemos.epfl.ch/sagesse/. CCS Concepts • Information systems → Language models.

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Type
conference paper
DOI
10.1145/3701551.3704122
Author(s)
Almerge, Nicolas  

EPFL

Santelmo, Matteo  

EPFL

Gül, Ilker  

EPFL

Asadi Sarijalou, Amin  

EPFL

Lebret, Rémi Philippe  
Laugier, Léo Jules  

EPFL

Aberer, Karl  

EPFL

Date Issued

2025-03-10

Publisher

ACM

Published in
WSDM '25: Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining
ISBN of the book

979-8-4007-1329-3

Published in
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining
Start page

1024

End page

1027

Subjects

Large Language Models

•

Argument maps

•

Social media

•

Politics

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LSIR  
Event nameEvent acronymEvent placeEvent date
18th ACM International Conference on Web Search and Data Mining (WSDM)

WSDM 2025

Hanover, Germany

2025-03-10 - 2025-03-14

FunderGrant Number

Swiss Federal Department of Foreign Affairs

Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/247492
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